Shauna Ayers

Shauna Ayers

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Member for

10 years 1 month

Shauna Ayers has been untangling the Gordian knots of IT systems for more than seventeen years, analyzing data systems and testing both software and data quality in the manufacturing, medical device, and healthcare industries. Shauna found her passion in developing creative solutions for the analysis and testing of sensitive and highly-regulated data sets at industry leaders such as Blue Cross Blue Shield of Florida (now Florida Blue), Vistakon (a subsidiary of Johnson & Johnson), and Availity.

Company
Availity
Job Function
Quality Assurance
Industry
Healthcare - Pharmaceuticals - Biotech
Interests
Architecture
Business Analysis
Design
Development Lifecycles
DevOps
Process Improvement
Quality Assurance
Requirements
Security
Test Automation
Testing
Data Management, Governance and Quality
Country
United States

Shauna Ayers has been untangling the Gordian knots of IT systems for more than seventeen years, analyzing data systems and testing both software and data quality in the manufacturing, medical device, and healthcare industries. Shauna found her passion in developing creative solutions for the analysis and testing of sensitive and highly-regulated data sets at industry leaders such as Blue Cross Blue Shield of Florida (now Florida Blue), Vistakon (a subsidiary of Johnson & Johnson), and Availity.

All Articles by Shauna Ayers


All Stories by Shauna Ayers

Data Test Your Data Quality to Increase the Return on Your QA InvestmentWith the high volume of data coming into your organization, it’s important that it be complete, correct, and timely. But considering the velocity at which this data is moving, how do you measure its current quality? You must be able to test it wherever it sits still enough to be viewable, without altering it.
Here There Be Monsters: The Value of Data ProfilingMonsters appeared on medieval maps to identify the unknown dangers of the sea. Likewise, the data profiles for an organization identify the points within its data. A robust data-profiling strategy can provide a more accurate picture of an organization’s data systems and find risks before they become monsters.